Design of single- and multi-loop self-adaptive PID controller using heuristic based recurrent neural network for ALFC of hybrid power system
作者：
Highlights：
• Design of a self-adaptive PID controller for load frequency control.
• PSO-GSA based recurrent Hopfield network for tuning the PID controller parameters.
• Effectiveness of proposed controller is studied in single- and multi-loop for ALFC.
• Self-adaptiveness of proposed controller is validated for system uncertainties.
摘要
•Design of a self-adaptive PID controller for load frequency control.•PSO-GSA based recurrent Hopfield network for tuning the PID controller parameters.•Effectiveness of proposed controller is studied in single- and multi-loop for ALFC.•Self-adaptiveness of proposed controller is validated for system uncertainties.
论文关键词：Heuristic based hopfield neural network,Hybrid power system,Automatic load frequency control,Particle swarm optimization-Gravitational search algorithm
论文评审过程：Received 6 March 2021, Revised 8 November 2021, Accepted 11 December 2021, Available online 26 December 2021, Version of Record 29 December 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116402
